Jobs / United States / Sirona Medical INC

Sirona Medical INC

Product Manager, Clinical Data & Workflow

Hybrid Posted today

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 3 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jan 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Sirona Medical INC paid sponsored hires in similar roles1 certified filing for “Senior NLP Data Scientist” (Molecular and Cellular Biologists) in CA: $150k–$150k, median $150k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 3 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jan 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Sirona Medical INC paid sponsored hires in similar roles
1 certified filing for “Senior NLP Data Scientist” (Molecular and Cellular Biologists) in CA: $150k–$150k, median $150k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

About Sirona Medical At Sirona Medical , we’re building software that enables physicians to work as fast as they can think. Each year in the U.S., billions of patient images are captured—and nearly all of them are reviewed and diagnosed by radiologists. These specialists are the central hub of diagnostic medicine: over 80% of all healthcare data flows through radiology IT systems . Yet despite their pivotal role, radiologists are overburdened by outdated, fragmented software which limits their efficiency and ultimately the quality and efficiency of care that health systems can provide patients. That’s where Sirona comes in. We’re a San Francisco-based, cloud-native software company with employees around the world. Our deep understanding of both the practice and business of radiology has allowed us to build RadOS —a unified, AI-powered operating system powering the entire radiology workflows. How Sirona Solves the Problem Sirona is uniquely positioned to transform the way radiology is practiced . We're delivering the organizational shift that both individual radiologists and entire practices urgently need: • A unified , intuitive, and platform-agnostic solution • A streamlined workspace that makes every part of the radiologist’s workflow faster and easier • The freedom to read from anywhere, for anyone By cutting clicks, optimizing diagnostic time, and unlocking efficiencies that extend far beyond the reading room into all care settings , Sirona empowers radiologists—and in doing so, we help the entire healthcare system move faster, smarter, and with greater impact on patient outcomes. For more information, please visit https://sironamedical.com/join/ . Product Manager, Clinical Data & Workflow Location: Remote (US). Preference for candidates based in Burlington, VT or the San Francisco Bay Area. If local, hybrid with three days per week in office. Sirona Medical builds cloud-native radiology workflow software. This role owns how clinical data is understood, organized, and used across the radiologist's workflow, from determining what gets read next to surfacing the right clinical context and giving imaging teams control over how their environment is configured. You'll also own the clinical data foundation behind these workflows, including Sirona's ontology and the logic that drives study and series classification, hanging protocols, reporting, and other forms of workflow automation. The opportunity is to use that foundation, along with AI where it makes sense, to remove steps from the radiologist's day and make the system increasingly aware of what they need and when they need it. Candidates coming from PACS administration, imaging informatics, radiologic technology, or implementation and clinical solutions work at a PACS or radiology AI vendor are particularly well suited to this role. We're looking for someone who understands how radiology actually works, can spot friction others might overlook, and can turn that understanding into better software. What you'll own: • Clinical data foundation: the ontology and classification logic that these and other product areas depend on • Worklist: how studies are prioritized, surfaced, assigned, and routed • Patient jacket: how priors, comparisons, and clinical context reach the reader • System administration: how imaging teams configure, monitor, and support their own environment Key Responsibilities: • Own the roadmap and priorities for your product areas, and defend those decisions to stakeholders across sales, customer success, and engineering • Define how work reaches the radiologist, so that less of the reading day is spent deciding what to read, chasing context, or working around the system • Expand what imaging teams can configure and troubleshoot themselves,

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